C Radhakrishna Rao

(Author)

Linear Models and Generalizations: Least Squares and AlternativesPaperback, 20 November 2010

Linear Models and Generalizations: Least Squares and Alternatives
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Part of Series
Springer Statistics
Part of Series
Springer Series in Statistics
Print Length
572 pages
Language
English
Publisher
Springer
Date Published
20 Nov 2010
ISBN-10
3642093531
ISBN-13
9783642093531

Description

Thoroughly revised and updated with the latest results, this Third Edition provides an account of the theory and applications of linear models. The authors present a unified theory of inference from linear models and its generalizations with minimal assumptions. They not only use least squares theory, but also alternative methods of estimation and testing based on convex loss functions and general estimating equations. Highlights include sensitivity analysis and model selection, an analysis of incomplete data, and an analysis of categorical data based on a unified presentation of generalized linear models. There is also an extensive appendix on matrix theory that is particularly useful for researchers in econometrics, engineering, and optimization theory. This text is recommended for courses in statistics at the graduate level as well as for other courses in which linear models play a role.

Product Details

Authors:
C Radhakrishna RaoHelge ToutenburgShalabhChristian Heumann
Book Format:
Paperback
Country of Origin:
NL
Date Published:
20 November 2010
Dimensions:
23.39 x 15.6 x 3.05 cm
ISBN-10:
3642093531
ISBN-13:
9783642093531
Language:
English
Location:
Berlin, Heidelberg
Pages:
572
Publisher:
Weight:
821 gm

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